Distribution and Associated Factors of Hepatic Iron-A Population-Based Imaging Study.
Lisa MaierRicarda von KrüchtenRoberto LorbeerJule FillerJohanna NattenmüllerBarbara ThorandWolfgang KoenigWolfgang RathmannFabian BambergChristopher L SchlettAnnette PetersSusanne RospleszczPublished in: Metabolites (2021)
Hepatic iron overload can cause severe organ damage; therefore, an early diagnosis and the identification of potential risk factors is crucial. We aimed to investigate the sex-specific distribution of hepatic iron content (HIC) in a population-based cohort and identify relevant associated factors from a panel of markers. We analyzed N = 353 participants from a cross-sectional sample (KORA FF4) who underwent whole-body magnetic resonance imaging. HIC was assessed by single-voxel spectroscopy with a high-speed T2-corrected multi-echo technique. A large panel of markers, including anthropometric, genetic, and laboratory values, as well as behavioral risk factors were assessed. Relevant factors associated with HIC were identified by variable selection based on LASSO regression with bootstrap resampling. HIC in the study sample (mean age at examination: 56.0 years, 58.4% men) was significantly lower in women (mean ± SD: 39.2 ± 4.1 s -1 ) than in men (41.8 ± 4.7 s -1 , p < 0.001). Relevant factors associated with HIC were HbA1c as well as prediabetes for men and visceral adipose tissue as well as age for women. Hepatic fat, alcohol consumption, and genetic risk score for iron levels were associated with HIC in both sexes. In conclusion, there are sex-specific associations of HIC with markers of body composition, glucose metabolism, and alcohol consumption.
Keyphrases
- alcohol consumption
- body composition
- risk factors
- adipose tissue
- high speed
- magnetic resonance imaging
- high resolution
- insulin resistance
- polycystic ovary syndrome
- iron deficiency
- middle aged
- magnetic resonance
- bone mineral density
- oxidative stress
- genome wide
- computed tomography
- copy number
- type diabetes
- atomic force microscopy
- gene expression
- single molecule
- climate change
- metabolic syndrome
- risk assessment
- early onset
- pregnant women
- dna methylation
- diffusion weighted imaging